AI-Powered Data Engineer for Healthcare Platform

Stealth - AI Agents for Healthcare; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Stealth - AI Agents for Healthcare in San Francisco is seeking an experienced Data Engineer to build a data foundation and own data ingestion, modeling, and delivery across our platform. You will unify data from insurers, providers, and public sources while shaping durable infrastructure and AI-assisted data workflows.

The role focuses on hands-on development of end-to-end data pipelines, canonical data models, and production-grade systems that support AI agents and operations.

Qualifications

• Hands-on data engineer with production systems experience.
• Strong SQL and Python skills.
• Experience with data warehousing and orchestration tools.

Responsibilities

• Build our data foundation: own data movement, transformation, and serving across the company including the data warehouse and orchestration tools.
• Unify fragmented healthcare data from paid vendors, carriers, providers, and public sources into durable workflows.
• Make data trustworthy by designing canonical models and preserving lineage, provenance, and context.
• Put data into production across backend, experiences, agents, and business tools.
• Use AI to improve data engineering: apply models to acquire, interpret, reconcile, and automate data tasks.
• Set roadmaps and standards across product, engineering, brokerage, and operations.

Skills

SQL

Python

End-to-end data engineering

AI-native mindset

Production data systems

Tools

Airflow

Dagster

Databricks

dbt

Data modeling

Job description

Stealth - AI Agents for Healthcare in San Francisco is seeking an experienced Data Engineer to build a data foundation and own data ingestion, modeling, and delivery across our platform. You will unify data from insurers, providers, and public sources while shaping durable infrastructure and AI-assisted data workflows.

The role focuses on hands-on development of end-to-end data pipelines, canonical data models, and production-grade systems that support AI agents and operations.